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This repository has been archived by the owner on Mar 17, 2021. It is now read-only.
Hi
Thank you to open your novel framework.
I used 3D DenseVnet to predict CT image label.
And before use my data, I tested your organ model and data.
But the Dice-hinge loss remains over 0.22
After I changed data to my one, also the loss remains specific value, near 0.5
I used only one data to overfit the network.
network is same with you, and I did not modified structure.
I used every parameter same with you.
I tested several time, and trained 1000 epochs but it remains as same.
Can you tell me why loss remains?
The text was updated successfully, but these errors were encountered:
kye9216789
changed the title
DenseVnet Dice loss remains and not fall
DenseVnet Dice loss remains and does not fall
Dec 7, 2018
Hi I was also facing the same issue. But when I changed the loss function from Dice to GDSC I was able to train my network and loss also started decreasing.
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Hi
Thank you to open your novel framework.
I used 3D DenseVnet to predict CT image label.
And before use my data, I tested your organ model and data.
But the Dice-hinge loss remains over 0.22
After I changed data to my one, also the loss remains specific value, near 0.5
I used only one data to overfit the network.
network is same with you, and I did not modified structure.
I used every parameter same with you.
I tested several time, and trained 1000 epochs but it remains as same.
Can you tell me why loss remains?
The text was updated successfully, but these errors were encountered: